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Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset
2024 Li, H.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.; Hong, T.
CityLearn v2: energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities
2024 Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Fonseca, Tiago; Pinto, Giuseppe; Ghose, Dipanjan; Duddukuru, Satvik; Pratapa, Pavani; Li, Han; Mohammadi, Javad; Lino Ferreira, Luis; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan
Effects of occupant thermostat preferences and override behavior on residential demand response in CityLearn
2024 Kaspar, Kathryn; Nweye, Kingsley; Buscemi, Giacomo; Capozzoli, Alfonso; Nagy, Zoltan; Pinto, Giuseppe; Eicker, Ursula; Ouf, Mohamed M.
A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn
2023 Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan
CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities
2023 Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan
Scaling energy management in buildings with artificial intelligence
2023 Pinto, Giuseppe
Ten questions concerning reinforcement learning for building energy management
2023 Nagy, Z.; Henze, G.; Dey, S.; Arroyo, J.; Helsen, L.; Zhang, X.; Chen, B.; Amasyali, K.; Kurte, K.; Zamzam, A.; Zandi, H.; Drgona, J.; Quintana, M.; Mccullogh, S.; Park, J. Y.; Li, H.; Hong, T.; Brandi, S.; Pinto, G.; Capozzoli, A.; Vrabie, D.; Berges, M.; Nweye, K.; Marzullo, T.; Bernstein, A.
Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset
2022 Li, H.; Pinto, G.; Capozzoli, A.; Hong, T.
Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures
2022 Pinto, G.; Kathirgamanathan, A.; Mangina, E.; Finn, D. P.; Capozzoli, A.
Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics
2022 Pinto, Giuseppe; Messina, Riccardo; Li, Han; Hong, Tianzhen; Piscitelli, Marco Savino; Capozzoli, Alfonso
Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
2022 Pinto, G.; Wang, Z.; Roy, A.; Hong, T.; Capozzoli, A.
Application of a Stochastic Multicriteria Acceptability Analysis to support decision-making within a macro-scale energy model: case study of the electrification of the road European transport sector
2021 Lerede, Daniele; Pinto, Giuseppe; Saccone, Mirko; Bustreo, Chiara; Capozzoli, Alfonso; Savoldi, Laura
Coordinated energy management for a cluster of buildings through deep reinforcement learning
2021 Pinto, G.; Piscitelli, M. S.; Vazquez-Canteli, J. R.; Nagy, Z.; Capozzoli, A.
Data-driven district energy management with surrogate models and deep reinforcement learning
2021 Pinto, G.; Deltetto, D.; Capozzoli, A.
Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings
2021 Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.
The impact of stakeholder preferences in multicriteria evaluation for the retrofitting of office buildings in Italy
2020 Pinto, G.; Capozzoli, A.; Piscitelli, M. S.; Savoldi, L.
Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating
2019 Pinto, Giuseppe; Abdollahi, E; Capozzoli, A.; Savoldi, L.; Lahdelma, R.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset / Li, H.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.; Hong, T.. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - ELETTRONICO. - 130:(2024). [10.1016/j.engappai.2023.107701] | 1-gen-2024 | Pinto G.Piscitelli M. S.Capozzoli A. + | Building thermal dynamics modeling with deep transfer learning using a.pdf |
| CityLearn v2: energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities / Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Fonseca, Tiago; Pinto, Giuseppe; Ghose, Dipanjan; Duddukuru, Satvik; Pratapa, Pavani; Li, Han; Mohammadi, Javad; Lino Ferreira, Luis; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan. - In: JOURNAL OF BUILDING PERFORMANCE SIMULATION. - ISSN 1940-1493. - ELETTRONICO. - (2024). [10.1080/19401493.2024.2418813] | 1-gen-2024 | Buscemi, GiacomoPinto, GiuseppeCapozzoli, Alfonso + | - |
| Effects of occupant thermostat preferences and override behavior on residential demand response in CityLearn / Kaspar, Kathryn; Nweye, Kingsley; Buscemi, Giacomo; Capozzoli, Alfonso; Nagy, Zoltan; Pinto, Giuseppe; Eicker, Ursula; Ouf, Mohamed M.. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 324:(2024). [10.1016/j.enbuild.2024.114830] | 1-gen-2024 | Buscemi, GiacomoCapozzoli, AlfonsoPinto, Giuseppe + | - |
| A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn / Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan. - In: BUILDING SIMULATION CONFERENCE PROCEEDINGS. - ISSN 2522-2708. - ELETTRONICO. - 18:(2023), pp. 1814-1821. (Intervento presentato al convegno 18th Conference of International Building Performance Simulation Association tenutosi a Shangai (China) nel 4-6 September) [10.26868/25222708.2023.1404]. | 1-gen-2023 | Buscemi, GiacomoPinto, GiuseppeCapozzoli, Alfonso + | - |
| CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities / Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, Tianzhen; Ouf, Mohamed; Capozzoli, Alfonso; Nagy, Zoltan. - ELETTRONICO. - (2023), pp. 274-275. (Intervento presentato al convegno 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2023 tenutosi a Istanbul (TUR) nel 2023) [10.1145/3600100.3626257]. | 1-gen-2023 | Buscemi, GiacomoPinto, GiuseppeCapozzoli, Alfonso + | - |
| Scaling energy management in buildings with artificial intelligence / Pinto, Giuseppe. - (2023 Feb 23), pp. 1-239. | 23-feb-2023 | PINTO, GIUSEPPE | conv_pinto_phd_thesis.pdf; conv_pinto_phd_abstract.pdf |
| Ten questions concerning reinforcement learning for building energy management / Nagy, Z.; Henze, G.; Dey, S.; Arroyo, J.; Helsen, L.; Zhang, X.; Chen, B.; Amasyali, K.; Kurte, K.; Zamzam, A.; Zandi, H.; Drgona, J.; Quintana, M.; Mccullogh, S.; Park, J. Y.; Li, H.; Hong, T.; Brandi, S.; Pinto, G.; Capozzoli, A.; Vrabie, D.; Berges, M.; Nweye, K.; Marzullo, T.; Bernstein, A.. - In: BUILDING AND ENVIRONMENT. - ISSN 0360-1323. - 241:(2023). [10.1016/j.buildenv.2023.110435] | 1-gen-2023 | Brandi S.Pinto G.Capozzoli A. + | 1-s2.0-S0360132323004626-main.pdf |
| Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset / Li, H.; Pinto, G.; Capozzoli, A.; Hong, T.. - ELETTRONICO. - (2022), pp. 242-245. (Intervento presentato al convegno BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation tenutosi a Boston (USA) nel 9 - 10 Novembre, 2022) [10.1145/3563357.3564056]. | 1-gen-2022 | Pinto G.Capozzoli A. + | 3563357.3564056.pdf |
| Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures / Pinto, G.; Kathirgamanathan, A.; Mangina, E.; Finn, D. P.; Capozzoli, A.. - In: APPLIED ENERGY. - ISSN 0306-2619. - STAMPA. - 310:(2022), p. 118497. [10.1016/j.apenergy.2021.118497] | 1-gen-2022 | Pinto G.Capozzoli A. + | 1-s2.0-S0306261921017128-main.pdf |
| Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics / Pinto, Giuseppe; Messina, Riccardo; Li, Han; Hong, Tianzhen; Piscitelli, Marco Savino; Capozzoli, Alfonso. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 276:(2022), p. 112530. [10.1016/j.enbuild.2022.112530] | 1-gen-2022 | Pinto, GiuseppeMessina, RiccardoPiscitelli, Marco SavinoCapozzoli, Alfonso + | Sharing is caring.pdf; Postprint author - Sharing is caring.pdf |
| Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives / Pinto, G.; Wang, Z.; Roy, A.; Hong, T.; Capozzoli, A.. - In: ADVANCES IN APPLIED ENERGY. - ISSN 2666-7924. - STAMPA. - 5:(2022), p. 100084. [10.1016/j.adapen.2022.100084] | 1-gen-2022 | Pinto G.Capozzoli A. + | 1-s2.0-S2666792422000026-main.pdf |
| Application of a Stochastic Multicriteria Acceptability Analysis to support decision-making within a macro-scale energy model: case study of the electrification of the road European transport sector / Lerede, Daniele; Pinto, Giuseppe; Saccone, Mirko; Bustreo, Chiara; Capozzoli, Alfonso; Savoldi, Laura. - In: ENERGY. - ISSN 0360-5442. - ELETTRONICO. - 236:(2021), p. 121444. [10.1016/j.energy.2021.121444] | 1-gen-2021 | Lerede, DanielePinto, GiuseppeSaccone, MirkoCapozzoli, AlfonsoSavoldi, Laura + | 1-s2.0-S0360544221016923-main.pdf |
| Coordinated energy management for a cluster of buildings through deep reinforcement learning / Pinto, G.; Piscitelli, M. S.; Vazquez-Canteli, J. R.; Nagy, Z.; Capozzoli, A.. - In: ENERGY. - ISSN 0360-5442. - ELETTRONICO. - 229:(2021), p. 120725. [10.1016/j.energy.2021.120725] | 1-gen-2021 | Pinto G.Piscitelli M. S.Capozzoli A. + | 1-s2.0-S0360544221009737-main(1).pdf; Accepted_manuscript_Energy_2021.pdf |
| Data-driven district energy management with surrogate models and deep reinforcement learning / Pinto, G.; Deltetto, D.; Capozzoli, A.. - In: APPLIED ENERGY. - ISSN 0306-2619. - STAMPA. - 304:(2021), p. 117642. [10.1016/j.apenergy.2021.117642] | 1-gen-2021 | Pinto G.Deltetto D.Capozzoli A. | Manuscript editor Pinto_Deltetto_Capozzoli.pdf; Manuscript_Applied Energy_Pinto_Deltetto_Capozzoli.pdf |
| Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings / Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 14:10(2021), p. 2933. [10.3390/en14102933] | 1-gen-2021 | Deltetto D.Coraci D.Pinto G.Piscitelli M. S.Capozzoli A. | energies-14-02933-v2 (1).pdf |
| The impact of stakeholder preferences in multicriteria evaluation for the retrofitting of office buildings in Italy / Pinto, G.; Capozzoli, A.; Piscitelli, M. S.; Savoldi, L.. - STAMPA. - 163:(2020), pp. 581-591. (Intervento presentato al convegno 11th International Conference on Sustainability and Energy in Buildings, SEB 2019 tenutosi a Budapest (HUN) nel 4th -5th July 2019) [10.1007/978-981-32-9868-2_49]. | 1-gen-2020 | Pinto G.Capozzoli A.Piscitelli M. S.Savoldi L. | The impact of stakeholder preferences in multicriteria evaluation for the retrofitting of office buildings in Italy.pdf |
| Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating / Pinto, Giuseppe; Abdollahi, E; Capozzoli, A.; Savoldi, L.; Lahdelma, R.. - In: ENERGIES. - ISSN 1996-1073. - 12:9,(2019), p. 1653. [10.3390/en12091653] | 1-gen-2019 | PINTO, GIUSEPPECapozzoli, A.Savoldi, L. + | energies-12-01653.pdf |